| commit | bf6b536bde7d8060c489b51fedb58968b8cbfd7c | [log] [tgz] |
|---|---|---|
| author | Vijay Vasudevan <vrv@google.com> | Wed Dec 02 15:04:40 2015 -0800 |
| committer | Vijay Vasudevan <vrv@google.com> | Wed Dec 02 15:04:40 2015 -0800 |
| tree | abdafce531563adae9a811d8994477f020979dec | |
| parent | fa095c5db0ac9cfe2328a19b32ae208e58e3746a [diff] |
TensorFlow: Upstream changes to git. Change 109240606 Fix typo Change 109240358 Fix bug in Concat's shape inference due to legacy scalar handling. The shape function was inadvertently converting outputs of unknown shape (rank=None) to vectors of unknown length (rank=1), due to inability to distinguish between legacy scalars and vectors, because `max(1, None)` is 1. Change 109237152 Remove numarray requirement in python_config. Change 109234003 Fix typo in elu documentation. Change 109232946 Python must now be configured via ./configure script Change 109232134 Backported fixes to the tensor comparison operators from the public Eigen repository Change 109231761 Test invalid inputs to softmax_cross_entropy_with_logits. Change 109230218 Backported fixes to the tensor comparison operators from the public Eigen repository Change 109229915 Correct comments in seq2seq to show the right input types for embedding models. (Thanks to hugman@github for bringing this up.) Change 109229118 Fix resize_images example in documentation and allow resize_images to run on a single image with partially-known shape. Change 109228940 Fix demo and node add/remove button spacing Change 109227909 Include Elu in the NN docs. Change 109227059 Adds variable_op_scope and makes variable_scope always add a name_scope. This creates an op scope for variables that makes it easy to create independent operations with a default name by making that name unique for the current scope and it allows explicit names that are not made unique. Change 109224492 Streamline yuv -> rgb conversion to be done in one pass in native code. The entire process now takes ~2ms (including the ByteBuffer.get() calls), down from 10+ ms when the arrays were being interleaved in Java prior to conversion. Also abstracting common yuv->rgb color conversion into helper method. Change 109224389 Add ability to move nodes in and out of auxiliary nodes in graph. Change 109217177 Update generated Op docs. Change 109215030 Implementation of the ELU activation function: http://arxiv.org/abs/1511.07289 Change 109209848 When GPUBFCAllocator runs out of memory, also log a summary of chunks in use by size. Change 109206569 Switched to the public version of the Eigen::sign method since it supports complex numbers. Change 109199813 Modify tensorflow.SequenceExample to support multiple-length sequences. Base CL: 109241553
#TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.
Note: Currently we do not accept pull requests on github -- see CONTRIBUTING.md for information on how to contribute code changes to TensorFlow through tensorflow.googlesource.com
We use github issues for tracking requests and bugs, but please see Community for general questions and discussion.
To install the CPU version of TensorFlow using a binary package, see the instructions below. For more detailed installation instructions, including installing from source, GPU-enabled support, etc., see here.
The TensorFlow Python API currently requires Python 2.7: we are working on adding support for Python 3.
The simplest way to install TensorFlow is using pip for both Linux and Mac.
For the GPU-enabled version, or if you encounter installation errors, or for more detailed installation instructions, see here.
# For CPU-only version $ pip install https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.5.0-cp27-none-linux_x86_64.whl
# Only CPU-version is available at the moment. $ pip install https://storage.googleapis.com/tensorflow/mac/tensorflow-0.5.0-py2-none-any.whl
$ python >>> import tensorflow as tf >>> hello = tf.constant('Hello, TensorFlow!') >>> sess = tf.Session() >>> sess.run(hello) Hello, TensorFlow! >>> a = tf.constant(10) >>> b = tf.constant(32) >>> sess.run(a+b) 42 >>>
##For more information